253 results about "Digital video" patented technology

The invention belongs to the technical field of computer vision and digital video processing, and discloses a video object segmentation method based on query adaptive attention and discriminative memory, which comprises the following steps: step 1, constructing a video data set and preprocessing data; step 2, constructing a video object segmentation model combining multi-scale semantic feature integration and query adaptive discriminant enhancement, and training the video object segmentation model; step 3, video object segmentation reasoning; performing target segmentation reasoning on the preprocessed video sequence, outputting a frame-by-frame target segmentation mask, and generating a time sequence tracking result; 4, exporting, deploying and applying the model; through lightweight network design and a discriminative memory optimization strategy, the model is deployed to edge equipment, and real-time segmentation and visualization are realized. According to the method, on one hand, comprehensive target representation is provided on multi-scale feature extraction, and on the basis of the characteristic that only high-confidence target features are stored, error propagation is avoided, and the long-term segmentation stability of the method is ensured.

The embodiment of the invention provides a digital video monitoring data transmission synchronization method and system, and relates to the technical field of digital video monitoring data transmission synchronization, and the method comprises the steps: receiving a video data stream and an external sensor data stream which is related to the content of the video data stream and has an independent stable time synchronization mechanism; identifying a visual event from the video data stream, and identifying a physical event associated with the visual event from the external sensor data stream; taking the timestamp of the physical event as a time anchor point, obtaining a visual original timestamp of the visual event, and calculating the time deviation of the video data stream according to the time anchor point and the visual original timestamp; based on the time deviation, correcting the frame timestamp of the video data stream by adopting an adaptive weighted average or filtering strategy to obtain a corrected timestamp; and fusing the corrected timestamps to obtain a global time reference. The reliability of the monitoring data and the accuracy of the analysis result can be improved.

The invention discloses an adaptive video restoration method based on a digital video technology, and relates to the technical field of image communication. The method comprises the following steps: preprocessing an original video containing hard subtitles and automatically removing the hard subtitles to obtain a video to be repaired; screening a reference frame and a to-be-repaired frame by comparing the original video with the to-be-repaired video; determining a to-be-repaired area according to the pixel gray scale difference; extracting matched feature points, calculating a reference motion vector, estimating possible positions and motion differences of points in the to-be-repaired region in combination with object structure segmentation and region prediction, and generating a corrected motion vector; performing sub-pixel-level interpolation by using the vector, and constructing a corrected reference image; and finally, fusing the corrected image and the to-be-repaired area to generate a repaired video frame. The method can effectively improve the restoration quality of the subtitle shielded area.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

Systems, apparatus, and methods for post-processing video e.g. frame denoising. Noise reduction techniques may be employed to improve the quality of digital video. Frames may be extracted from a video. Synthetic frames may be created using motion data between the extracted frames. Synthetic frames may be masked to exclude pixels from the composite frame. Thresholds used in masking may vary based on the temporal distance of the extracted frame used to create the synthetic frame and the extracted frame. Masking may be based on frame differences between extracted and synthetic frames (e.g., sub-pixel / luminance differences), areas of lower quality motion data (e.g., occlusions), or edge detection in the extracted frames. Synthetic and extracted frames may be composited generating frames having less noise. The composited frame may be based on averaging pixel values across the synthetic and extracted frames. Composited frames may be compiled and encoded into denoised video.

Systems and methods for detecting artificial intelligence generated images are provided. The system accepts an input image (e.g., a digital still image, or a frame from a digital video file or image stream) and subdivides the input image into a set of patches using a patch partitioning algorithm. The system then processes each patch and produces a feature embedding for each patch within a high dimension space. The system then utilizes these patches with further processing as input to machine learning models, which allows the system to achieve image, patch-level, and video-frame generated image classification and localization alongside identification of the generative model used to synthesize the image.

Devices, systems and methods for digital video coding, which include sub-block based inter prediction methods, are described. An exemplary method for video processing includes determining, for a conversion between a current block of video and a bitstream representation of the video, a maximum number of candidates in a sub-block based merge candidate list and / or whether to add sub-block based temporal motion vector prediction (SbTMVP) candidates to the sub-block based merge candidate list based on whether temporal motion vector prediction (TMVP) is enabled for use during the conversion or whether a current picture referencing (CPR) coding mode is used for the conversion, and performing, based on the determining, the conversion.

1. Name of the designed product: main body of digital video camera 2. Use of the designed product: used as digital video camera with replaceable lens for movie shooting, etc.; use of partial design: used as main body of digital video camera. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view.

A transmitter includes a distributor that receives a stream of digital video samples and distributes the digital video samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. Synchronization uses modified MFM and sample phase alignment. The source drivers are integrated with the substrate of the display panel using transistors. An AR / VR headset uses analog video transport between processor and visor and transmits and receives wirelessly.

The invention discloses an anomaly detection method for a digital video monitoring system, which relates to the related field of video data processing technology, and comprises the following steps: setting a sampling period and a sampling interval, and randomly intercepting a certain number of video clips from video data acquired by the digital video monitoring system in real time; the collected video clips are preprocessed, the video clips are segmented through shot boundary detection, key features are extracted from the video clips, and the noise influence is reduced; inputting the preprocessed video clips into a pre-trained video anomaly analysis model, performing anomaly analysis on the video clips in combination with text information generated by a text encoder, and determining video clips with abnormal events; and the target detection model is applied to detect abnormal video clips, abnormal events are classified and positioned, and an abnormal detection result is displayed on an application interface of the digital video monitoring system. The problems of low video anomaly detection efficiency and incomplete video feature information are solved, and the detection precision and the intelligent level are improved.

The invention discloses a digital video tampering detection method and system based on power grid frequency, and the method comprises the steps: deleting the visual content in a digital video to obtain the power grid frequency, enabling the power grid frequency to be embedded in a noise component of the digital video in an optical form, and carrying out the average processing in a column direction to obtain a line signal; filling the row signal of each frame in the idle time period to be zero, splicing all frames to construct a one-dimensional time sequence, and tracking a power grid frequency signal estimated value through S transformation; and matching the obtained power grid frequency signal estimation value with a reference frequency, and determining whether the digital video is tampered or not through frequency abrupt change. The invention aims to solve the problems of incomplete and distorted power grid frequency signals caused by time distortion in existing video power grid frequency estimation and the problem that high-precision extraction of the power grid frequency signals is restricted by complex background interference in a video recording process. Power grid frequency signals are accurately extracted, and high-precision detection and stable identification of video tampering behaviors are realized.

Technology is disclosed for programmatically generating interactive content cards (ICCs) for enhancing digital video content. In one implementation, an ICC overlays video content without altering the underlying video, providing viewers with additional, contextually relevant information as the video is viewed. The ICCs may be dynamically presented based on predefined presentation criteria, such as temporal markers, detected events, or recognized objects within the video that correspond to the information in the cards. Upon detecting a viewer's interaction with an ICC, a content window providing supplemental information about the video is presented. The supplemental information is generated using a query to a knowledge base, which may include a search engine or a language model, ensuring that the information is current and relevant.

A transmitter includes a distributor that receives a stream of digital video samples and distributes the digital video samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. A wiring harness transports each series of analog video samples to a source driver of a display panel of a display unit. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. Synchronization uses modified MFM and sample phase alignment. The source drivers are integrated with the substrate of the display panel using transistors.

Devices, systems and methods for digital video coding, which includes Prediction from Multiple Cross-components (PMC) methods, are described. An exemplary method for video processing includes making a first determination that a cross-component prediction (CCP) mode is disabled for a conversion between a video block of a video and a bitstream representation of the video and making a second determination, based on the first determination, regarding whether a first syntax element indicating usage of an enhanced Two-Step Cross-component Prediction Mode (TSCPM) coding tool or an enhanced cross-component linear model (CCLM) coding tool is included in the bitstream representation. The method also includes performing a conversion based on the second determination.

The application relates to the technical field of digital video processing, and discloses a video stream block time evidence watermarking method based on time authentication, which comprises the following steps: receiving a continuous video code stream and dividing the video code stream into multiple continuous video blocks, extracting video coding layer data of the first video block, performing a hash operation to generate a reference hash value; sending the reference hash value to a time watermarking device, performing a digital signature operation on the reference hash value in combination with an absolute timestamp and a signature key to generate a digital signature; intercepting a bit segment from the digital signature as a characteristic sequence to form cascade digest data; and modulating preset macro block syntax elements of the first frame of the next video block by using the cascade digest data, and outputting reconstructed video coding layer data. The method effectively reduces processor occupation and memory consumption of the system, enables video content to meet real-time transmission requirements in a monitoring scene while guaranteeing time sequence and data anti-fake capability.

Devices, systems, and methods for digital video coding, which includes deriving regression-based motion vector field (RMVF)-based motion vector information, are described. An exemplary method for video processing includes deriving, from at least one set of neighboring blocks in a RMVF scheme, one or more control point motion vector predictors (CPMVPs) of an affine model for a current video block. The method also includes updating a motion candidate list for the current video block based on the one or more CPMVPs. The one or more CPMVPs are associated with a specific affine motion mode. The method further includes performing a conversion for the current video block based on the motion candidate list.

The invention discloses a video quality evaluation method and device, equipment and a storage medium, and relates to the technical field of digital video processing. The method comprises the following steps: acquiring a to-be-evaluated image frame sequence and a corresponding reference image frame sequence; calculating target feature similarity measurement and a depth fusion feature vector between the feature maps of the current to-be-evaluated image frame and the current reference image frame at the same level, and obtaining a single-level quality perception feature vector; estimating a single-frame quality score of the current reference image frame based on the quality perception feature vectors of all levels corresponding to the current reference image frame; and obtaining a video quality score of the to-be-evaluated image frame sequence based on the single frame quality scores corresponding to all the to-be-evaluated image frames in the to-be-evaluated image frame sequence. Through combination of target feature similarity measurement and deep fusion features, traditional image quality evaluation indexes and deep network adaptive features are combined, and comprehensiveness and accuracy of video quality evaluation are improved.

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

The invention provides a reverse time offset compensation method, device and equipment and a medium, and the method comprises the steps: determining a superframe header position through employing a superframe synchronization algorithm when a digital video broadcasting DVB terminal searches a satellite; performing frame format analysis processing based on the superframe header position to obtain a corresponding frame type format; when the superframe header position is in an available state, obtaining a theoretical frame header position corresponding to the frame type format according to the frame type format; and according to the theoretical frame header position and the superframe header position, determining a time offset error value and sending the time offset error value to a signaling processing unit, so that the signaling processing unit performs time offset compensation correction according to the time offset error value and determines a target time offset value. According to the scheme, the access stability and the data transmission reliability of the DVB communication system are improved.

The invention provides a DVB frequency offset estimation method and device, equipment and a storage medium. The method comprises the following steps: acquiring a waveform; performing time slot synchronization on double-speed time domain data received by a digital video broadcast reverse link baseband to obtain synchronized data; and performing frequency offset estimation according to the waveform and the first burst at the synchronization head of the synchronized data. According to the method, adaptive frequency offset estimation is carried out according to the waveform and the first burst at the synchronization head of the synchronized data, and the performance of a satellite communication system is improved.

Disclosed herein are first person view (FPV) headsets that include a housing and a fan plate coupled to the housing, where the fan plate includes an attachment point configured to receive a headset accessory. The attachment point can include a hinged mount and / or a quick release connector (e.g., including a pin, screw, button, magnet). The attachment point can include an electrical connector for power and / or data. Also disclosed are accessories (e.g., an antenna, an antenna mount, a digital video receiver) having physical features that are complementary to the attachment point, enabling them to be attached to the FPV headset.

1. The name of the design product: digital video camera (D32S). 2. The use of the design product: for photography, photography. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to an analog video encryption and decryption method and system, and the method comprises the steps: carrying out the analog-to-digital conversion of an original analog video signal provided by an unmanned plane through analog image transmission, and obtaining an original digital video signal containing a plurality of video frame units; and performing pixel position rearrangement processing on the original digital video signal to generate an encrypted digital video signal, and performing digital-to-analog conversion to obtain an encrypted analog video signal. During decryption, analog-to-digital conversion is carried out on the encrypted analog video signal to obtain a digital video signal to be decrypted, pixel position inverse rearrangement processing is carried out to generate an original digital video signal, and finally digital-to-analog conversion is carried out to output an original analog video signal. According to the method, the encryption security of the analog video signal is enhanced by adjusting the pixel position in the digital domain, using the random number and the like.

The utility model discloses a decoding all-in-one machine based on a single CPU, and relates to the technical field of automobile display, and the decoding all-in-one machine comprises a video data receiving module, an MCU analysis module, an MIPICSIS conversion module, a CPU processing module, a DP data output module, a power management module, a storage module and a function interface module. The video data receiving module receives an original vehicle video signal and a vehicle-mounted auxiliary video signal, an original vehicle video picture is transmitted into the MIPICSIS conversion module through a deserializer, the MIPICSIS conversion module converts a digital video signal of a camera signal and the deserialized original vehicle video signal into a double-path data stream in an MIPICSIS format, the double-path data stream is input into the CPU, image processing and superposition are realized by the CPU, and the video data is transmitted to the video data receiving module through the video data receiving module. And the processed video signal is finally output through a DP interface double-path data stream, is processed by a serializer, and is sent to a display screen for picture output. 360-degree panorama output is added to the picture of the original vehicle, meanwhile, multi-series original vehicle screen refitting is supported, and the advantages of being low in cost, high in stability, capable of supporting a high-resolution display screen and the like are achieved.

This invention discloses a secure authentication method, apparatus, and device for video encryption cards, relating to the field of computer security technology. The method includes: connecting a current video encryption card to a computer and acquiring a digital video signal to be decrypted; wherein the digital signal to be decrypted is obtained by encrypting an original digital video signal using the computer; determining whether the current video encryption card is compatible with the computer; if the result of determining whether the current video encryption card is compatible with the computer is yes, then decrypting the digital video signal to be decrypted using the current video encryption card and obtaining the corresponding original digital video signal. By using the secure authentication method for video encryption cards disclosed in this invention, the computer hardware information used to encrypt video information is recorded on the video encryption card, and the key contains the computer hardware information, enabling the video encryption card to be compatible with the corresponding computer hardware. Encryption / decryption can only be performed under the condition of hardware compatibility, thus improving the information security of processing multimedia information using video encryption cards.

The application provides a video sending method, a video receiving method and related devices, and relates to the field of digital video signal coding. The method comprises the following steps: obtaining an original transmission video, and obtaining an original transmission image according to the original transmission video; converting the original transmission image into a preset image format to obtain a converted transmission image; splitting the converted transmission image according to color information to obtain a plurality of color images, wherein the color images comprise a first color image, a second color image and a third color image; respectively encoding the plurality of color images to obtain a first encoded image of the first color image, a second encoded image of the second color image and a third encoded image of the third color image; converting the encoded images into transmission information; and sending the transmission information to a receiving end, so that the receiving end can obtain the original transmission video according to the transmission information. The method can reduce network pressure during transmission and make the received file meet the requirement of visual lossless quality after being decoded.

Devices, systems and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes generating, for a conversion between a current video block of a video including multiple video blocks and a bitstream representation of the video, a most probable mode (MPM) list for a matrix based intra prediction (MIP) tool based on a rule, where, the MIP tool includes determining, during the conversion, a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, and where the rule specifies a mapping between a number of MIP modes and dimensions of the multiple video blocks; and performing the conversion based on the generating.

New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.

Improved technical functionality is provided to dynamically select and seamlessly play advertisements immediately before playing of a recorded program upon selection of the recorded program for playing, or upon other detected events and conditions associated with the set-top-box (STB) or user. In some embodiments, this is performed by using metadata which may be delivered to and stored on a digital video recorder (DVR) prior to recording the program, providing a technical solution to enable opportunities for additional advertisement impressions. Playing of the advertisement may also or instead occur upon the recorded program finishing playing. Thus, the technical solution provides the additional opportunity for the content creator and / or the satellite television or cable service provider to sell advertising spots in addition to those already sold for breaks within the recorded program.

In implementation of techniques for scene reconstruction from digital video of moving humans, a computing device implements a scene reconstruction system to receive a digital video depicting a scene including a human and an object. The scene reconstruction system then determines a depth of the human and a depth of the object in the digital video and generates a human mesh modeled from the human in the digital video. Using a machine learning model, the scene reconstruction system determines a size of the object by comparing the depth of the human, the depth of the object, and an estimated dimension of the human mesh. The scene reconstruction system then generates a scene reconstruction including the human mesh and a three-dimensional representation of the object based on the size of the object.